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市场调查报告书
商品编码
1503346

2030 年神经拟态计算市场预测：按组件、部署、技术、应用、最终用户和地区进行的全球分析

Neuromorphic Computing Market Forecasts to 2030 - Global Analysis By Component (Neuromorphic Chips, Software, Sensors, Memory, Interfaces and Other Components), Deployment, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC预测，2024年全球神经拟态计算市场规模将达63亿美元，预计2030年将达到222亿美元，预测期内复合年增长率为23.2%。

神经形态计算模拟大脑的神经结构，以有效地执行复杂的计算。与传统处理器不同，它们使用人工神经元和突触网路处理讯息，以受生物系统启发的方式实现模式识别、决策和学习等任务。这种方法在速度、能源效率和适应性方面具有优势，使其适合机器学习、机器人和感测处理等应用。

根据Cisco预测，到 2022 年，全球连网穿戴装置数量将达到 11.1 亿台。此外，2023 年 10 月，开发尖端神经拟态视觉系统的公司 Prophesee 发布了基于事件的 Metavision 感测器「GenX320」。

需要更强大、更有效率的 AI/ML 系统

神经形态运算的优点是模仿类脑神经网络，提高其处理复杂资料的能力，并以比传统架构更高的能源效率执行即时运算。随着各行业希望利用人工智慧和机器学习进行高阶分析、模式识别和决策，对神经形态运算解决方案的需求不断增加。

有限的软体生态系统

神经形态计算的不同应用需要专用的软体工具和框架来满足其独特的需求，从而导致碎片化和互通性问题。这种限制限制了综合解决方案的开发，并减缓了神经形态系统跨产业的部署。此外，缺乏标准化的开发环境和支援服务使与现有基础设施的整合变得复杂并抑制了扩充性。

对类脑运算解决方案的需求不断增长

类脑运算解决方案受到大脑神经架构的启发，在能源效率、平行性和认知效能方面具有优势。随着各行业寻求更强大的人工智慧和机器学习功能，他们越来越多地采用神经形态计算来执行需要即时资料处理、模式识别和决策的任务。随着医疗保健、机器人和物联网等领域需求的增加，对神经形态硬体和软体的投资持续成长。

演算法和后端处理复杂度

开发和优化神经架构的神经网路演算法需要专门的知识和资源，从而导致更高的开发成本和更长的部署时间。此外，跨分散式系统的资料管理、同步和扩展等后端操作非常复杂且占用资源。这种复杂性阻碍了与现有IT基础设施的无缝集成，并限制了小型组织的存取。

COVID-19 的影响

COVID-19 的疫情对医疗业务市场产生了积极影响。包括 IBM、惠普和高通在内的多家市场领导已向世界各地的多家医院和诊所推出了神经拟态运算解决方案。他们技术的运算能力可以缓解典型医院生态系统中的各种困难。这场大流行提振了资本设备产业，对下一代电子产品的强劲需求。

神经型态晶片领域预计将在预测期内成为最大的领域

神经型态晶片预计在预测期内增长最快，因为它们能够快速、有效率地处理复杂资料，并增强神经型态演算法和应用程式的效能。产业将受益于人工智慧、机器学习和感测处理能力的不断增强，从而推动医疗诊断、自主系统和物联网等领域的采用。

神经形态视觉系统领域预计在预测期内复合年增长率最高

神经形态视觉系统领域预计将在预测期内实现最高的复合年增长率，因为它在数位环境中复製生物视觉处理，并能够对视觉资料进行高度准确和高效的即时解释。自动驾驶汽车、监控和扩增实境等行业正受益于改进的物件辨识、场景理解和情境察觉。神经形态视觉系统和神经形态运算平台的整合提高了整体系统性能和效率，推动了对专用硬体和软体解决方案的需求。

比最大的地区

预计北美在预测期内将占据最大的市场占有率，因为美国和加拿大等北美市场的早期采用者处于神经形态计算系统应用的最前沿。该地区的主要趋势之一是基于人工智慧的语音和语音辨识技术。透过集成，可以更轻鬆地微调语音辨识引擎，以提供更好的语音体验。

复合年增长率最高的地区：

预计欧洲在预测期内将维持最高的复合年增长率，因为欧洲有多项倡议和组织致力于加速神经形态运算技术的开发和采用。此外，生物辨识技术在欧洲国家的使用正在增加，为神经形态计算影像处理应用开闢了全新的实施领域。总体而言，欧洲是神经形态运算领域的关键参与者，组织和研究人员有很多机会参与这项令人兴奋且快速发展的技术。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球神经型态计算市场：依组成部分

  • 神经型态晶片
  • 软体
  • 感应器
  • 记忆
  • 介面
  • 其他组件

第六章全球神经型态计算市场：依发展划分

  • 边缘运算
  • 云端运算

第七章全球神经型态计算市场：依技术分类

  • 忆阻器神经网路 (MNN)
  • 尖峰神经网路 (SNN)
  • 神经型态硬体

第八章全球神经型态计算市场：依应用分类

  • 机器人技术
  • 机器学习
  • 神经型态视觉系统
  • 脑机介面（BCI）
  • 自然语言处理
  • 感觉处理
  • 其他应用

第九章全球神经型态计算市场：依最终用户划分

  • 医疗保健和生命科学
  • 资讯科技和通讯
  • 车
  • 家用电器
  • 国防/航太
  • 工业自动化
  • 其他最终用户

第10章全球神经型态计算市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • BrainChip Holdings Ltd
  • General Vision Inc.
  • GrAI Matter Labs
  • Gyrfalcon Technology Inc.
  • Hewlett Packard Company
  • HRL Laboratories, LLC
  • IBM Corporation
  • Intel Corporation
  • International Business Machines Corporation
  • Knowm Inc
  • Nepes Corporation
  • Qualcomm Technologies, Inc
  • Samsung Electronics Co. Ltd
  • SK Hynix Inc.
  • SynSense AG
  • Vicarious FPC Inc.
Product Code: SMRC26512

According to Stratistics MRC, the Global Neuromorphic Computing Market is accounted for $6.3 billion in 2024 and is expected to reach $22.2 billion by 2030 growing at a CAGR of 23.2% during the forecast period. Neuromorphic computing emulates the brain's neural structure to perform complex computations efficiently. Unlike traditional processors, it uses networks of artificial neurons and synapses to process information, enabling tasks such as pattern recognition, decision-making, and learning in a manner inspired by biological systems. This approach offers advantages in speed, energy efficiency, and adaptability, making it suitable for applications like machine learning, robotics, and sensory processing.

According to Cisco Systems, the number of connected wearable devices globally in 2022 reached 1,110 million. Also, in October 2023, Prophesee, a developer of cutting-edge neuromorphic vision systems, unveiled the GenX320 Event-based Metavision sensor.

Market Dynamics:

Driver:

Need for more powerful and efficient AI/ML systems

Neuromorphic computing offers advantages in mimicking brain-like neural networks, enhancing capabilities for processing complex data and performing real-time computations with greater energy efficiency than traditional architectures. As industries seek to leverage AI and machine learning for advanced analytics, pattern recognition, and decision-making, the demand for neuromorphic computing solutions is rising.

Restraint:

Limited software ecosystem

Various applications of neuromorphic computing require specialized software tools and frameworks tailored to their unique requirements, leading to fragmentation and interoperability issues. This limitation restricts the development of comprehensive solutions and slows down the deployment of neuromorphic systems across industries. Moreover, the scarcity of standardized development environments and support services complicates integration with existing infrastructure and hampers scalability.

Opportunity:

Growing demand for brain-inspired computing solutions

Brain-inspired computing solutions solutions, inspired by the brain's neural architecture, offer advantages in energy efficiency, parallel processing, and cognitive capabilities. Industries seeking more powerful AI and machine learning capabilities are increasingly adopting neuromorphic computing for tasks requiring real-time data processing, pattern recognition, and decision-making. As demand rises across sectors such as healthcare, robotics, and IoT, investments in neuromorphic hardware and software continue to grow.

Threat:

Complexity of algorithms and backend operations

Developing and optimizing neural network algorithms for neuromorphic architectures requires specialized expertise and resources, leading to higher development costs and longer deployment times. Additionally, backend operations such as data management, synchronization, and scaling across distributed systems can be intricate and resource-intensive. These complexities hinder seamless integration with existing IT infrastructures and limit accessibility to smaller organizations.

Covid-19 Impact

The COVID-19 pandemic had a favorable influence on the medical business market. Several market leaders, including IBM, Hewlett Packard, and Qualcomm, pushed their neuromorphic computing solutions into several hospitals and clinics worldwide. Their technologies' computational skills were able to reduce various difficulties inside a normal hospital ecosystem. The pandemic kept the capital equipment sector humming with a strong demand for next-generation electronics.

The neuromorphic chips segment is expected to be the largest during the forecast period

The neuromorphic chips is expected to be the largest during the forecast period as these chips enable faster, energy-efficient processing of complex data, enhancing the performance of neuromorphic algorithms and applications. Industries benefit from improved capabilities in AI, machine learning, and sensory processing, driving adoption in sectors like healthcare diagnostics, autonomous systems, and IoT.

The neuromorphic vision systems segment is expected to have the highest CAGR during the forecast period

The neuromorphic vision systems segment is expected to have the highest CAGR during the forecast period as these systems replicate biological visual processing in digital environments, enabling real-time interpretation of visual data with high accuracy and efficiency. Industries such as autonomous vehicles, surveillance, and augmented reality benefit from improved object recognition, scene understanding, and situational awareness. The integration of neuromorphic vision systems with neuromorphic computing platforms enhances overall system performance and efficiency, driving demand for specialized hardware and software solutions.

Region with largest share:

North America is projected to hold the largest market share during the forecast period as early adopters in the North American market, such as the U.S. and Canada, are the frontiers of neuromorphic computing system applications. One of the major trends in the region is AI based voice and speech recognition technology. The integration facilitated fine-tuning its speech recognition engines to provide a better voice experience.

Region with highest CAGR:

Europe is projected to hold the highest CAGR over the forecast period as there are several initiatives and organizations in Europe that are focused on advancing the development and adoption of neuromorphic computing technologies. In addition, the increasing use of biometry in the European countries is catering to a whole new implementation area to the image processing applications of neuromorphic computing. Overall, Europe is a key player in the field of neuromorphic computing, and there are many opportunities for organizations and researchers to get involved in this exciting and rapidly evolving technology.

Key players in the market

Some of the key players in Neuromorphic Computing market include BrainChip Holdings Ltd, General Vision Inc., GrAI Matter Labs, Gyrfalcon Technology Inc., Hewlett Packard Company, HRL Laboratories, LLC, IBM Corporation, Intel Corporation, International Business Machines Corporation, Knowm Inc, Nepes Corporation, Qualcomm Technologies, Inc, Samsung Electronics Co. Ltd, SK Hynix Inc., SynSense AG and Vicarious FPC Inc.

Key Developments:

In June 2024, BrainChip Introduces TENNs-PLEIADES in New White Paper. The white paper covers topics related to temporal network architectures, event-based benchmark experiments and possibilities that such an approach can achieve.

In June 2024, BrainChip and Frontgrade Gaisler Augment Space-Grade Microprocessors with AI Capabilities. This collaboration represents a significant milestone as it aims to introduce the first space-grade SoC worldwide with incorporated true artificial intelligence (AI) capabilities.

In November 2023, HP Partners with INDO-MIM to Advance Metal Additive Manufacturing. INDO-MIM has initially invested in three cutting-edge HP Metal Jet S100 printers as part of this collaboration, strengthening their commitment to advancing additive manufacturing globally.

Components Covered:

  • Neuromorphic Chips
  • Software
  • Sensors
  • Memory
  • Interfaces
  • Other Components

Deployments Covered:

  • Edge Computing
  • Cloud Computing

Technologies Covered:

  • Memristive Neural Networks (MNNs)
  • Spiking Neural Networks (SNNs)
  • Neuromorphic Hardware

Applications Covered:

  • Robotics
  • Machine Learning
  • Neuromorphic Vision Systems
  • Brain-Computer Interfaces (BCIs)
  • Natural Language Processing
  • Sensory Processing
  • Other Applications

End Users Covered:

  • Healthcare & Life Sciences
  • IT & Telecom
  • Automotive
  • Consumer Electronics
  • Defense & Aerospace
  • Industrial Automation
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Neuromorphic Computing Market, By Component

  • 5.1 Introduction
  • 5.2 Neuromorphic Chips
  • 5.3 Software
  • 5.4 Sensors
  • 5.5 Memory
  • 5.6 Interfaces
  • 5.7 Other Components

6 Global Neuromorphic Computing Market, By Deployment

  • 6.1 Introduction
  • 6.2 Edge Computing
  • 6.3 Cloud Computing

7 Global Neuromorphic Computing Market, By Technology

  • 7.1 Introduction
  • 7.2 Memristive Neural Networks (MNNs)
  • 7.3 Spiking Neural Networks (SNNs)
  • 7.4 Neuromorphic Hardware

8 Global Neuromorphic Computing Market, By Application

  • 8.1 Introduction
  • 8.2 Robotics
  • 8.3 Machine Learning
  • 8.4 Neuromorphic Vision Systems
  • 8.5 Brain-Computer Interfaces (BCIs)
  • 8.6 Natural Language Processing
  • 8.7 Sensory Processing
  • 8.8 Other Applications

9 Global Neuromorphic Computing Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare & Life Sciences
  • 9.3 IT & Telecom
  • 9.4 Automotive
  • 9.5 Consumer Electronics
  • 9.6 Defense & Aerospace
  • 9.7 Industrial Automation
  • 9.8 Other End Users

10 Global Neuromorphic Computing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 BrainChip Holdings Ltd
  • 12.2 General Vision Inc.
  • 12.3 GrAI Matter Labs
  • 12.4 Gyrfalcon Technology Inc.
  • 12.5 Hewlett Packard Company
  • 12.6 HRL Laboratories, LLC
  • 12.7 IBM Corporation
  • 12.8 Intel Corporation
  • 12.9 International Business Machines Corporation
  • 12.10 Knowm Inc
  • 12.11 Nepes Corporation
  • 12.12 Qualcomm Technologies, Inc
  • 12.13 Samsung Electronics Co. Ltd
  • 12.14 SK Hynix Inc.
  • 12.15 SynSense AG
  • 12.16 Vicarious FPC Inc.

List of Tables

  • Table 1 Global Neuromorphic Computing Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Neuromorphic Computing Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Neuromorphic Computing Market Outlook, By Neuromorphic Chips (2022-2030) ($MN)
  • Table 4 Global Neuromorphic Computing Market Outlook, By Software (2022-2030) ($MN)
  • Table 5 Global Neuromorphic Computing Market Outlook, By Sensors (2022-2030) ($MN)
  • Table 6 Global Neuromorphic Computing Market Outlook, By Memory (2022-2030) ($MN)
  • Table 7 Global Neuromorphic Computing Market Outlook, By Interfaces (2022-2030) ($MN)
  • Table 8 Global Neuromorphic Computing Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 9 Global Neuromorphic Computing Market Outlook, By Deployment (2022-2030) ($MN)
  • Table 10 Global Neuromorphic Computing Market Outlook, By Edge Computing (2022-2030) ($MN)
  • Table 11 Global Neuromorphic Computing Market Outlook, By Cloud Computing (2022-2030) ($MN)
  • Table 12 Global Neuromorphic Computing Market Outlook, By Technology (2022-2030) ($MN)
  • Table 13 Global Neuromorphic Computing Market Outlook, By Memristive Neural Networks (MNNs) (2022-2030) ($MN)
  • Table 14 Global Neuromorphic Computing Market Outlook, By Spiking Neural Networks (SNNs) (2022-2030) ($MN)
  • Table 15 Global Neuromorphic Computing Market Outlook, By Neuromorphic Hardware (2022-2030) ($MN)
  • Table 16 Global Neuromorphic Computing Market Outlook, By Application (2022-2030) ($MN)
  • Table 17 Global Neuromorphic Computing Market Outlook, By Robotics (2022-2030) ($MN)
  • Table 18 Global Neuromorphic Computing Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 19 Global Neuromorphic Computing Market Outlook, By Neuromorphic Vision Systems (2022-2030) ($MN)
  • Table 20 Global Neuromorphic Computing Market Outlook, By Brain-Computer Interfaces (BCIs) (2022-2030) ($MN)
  • Table 21 Global Neuromorphic Computing Market Outlook, By Natural Language Processing (2022-2030) ($MN)
  • Table 22 Global Neuromorphic Computing Market Outlook, By Sensory Processing (2022-2030) ($MN)
  • Table 23 Global Neuromorphic Computing Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 24 Global Neuromorphic Computing Market Outlook, By End User (2022-2030) ($MN)
  • Table 25 Global Neuromorphic Computing Market Outlook, By Healthcare & Life Sciences (2022-2030) ($MN)
  • Table 26 Global Neuromorphic Computing Market Outlook, By IT & Telecom (2022-2030) ($MN)
  • Table 27 Global Neuromorphic Computing Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 28 Global Neuromorphic Computing Market Outlook, By Consumer Electronics (2022-2030) ($MN)
  • Table 29 Global Neuromorphic Computing Market Outlook, By Defense & Aerospace (2022-2030) ($MN)
  • Table 30 Global Neuromorphic Computing Market Outlook, By Industrial Automation (2022-2030) ($MN)
  • Table 31 Global Neuromorphic Computing Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.